Overview

Dataset statistics

Number of variables26
Number of observations8640
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory208.0 B

Variable types

DateTime1
Numeric25

Alerts

T_ext is highly correlated with T_int and 4 other fieldsHigh correlation
T_int is highly correlated with T_ext and 5 other fieldsHigh correlation
BIPVT_outletT is highly correlated with T_ext and 6 other fieldsHigh correlation
BIPVT_dT is highly correlated with BIPVT_heat and 4 other fieldsHigh correlation
BIPVT_heat is highly correlated with BIPVT_outletT and 6 other fieldsHigh correlation
geo_heat is highly correlated with heating_total and 5 other fieldsHigh correlation
heating_total is highly correlated with geo_heat and 5 other fieldsHigh correlation
cooling_total is highly correlated with cooling_slab_ratioHigh correlation
window_state is highly correlated with T_ext and 4 other fieldsHigh correlation
heating_slab_ratio is highly correlated with Q_slab_heating and 1 other fieldsHigh correlation
cooling_slab_ratio is highly correlated with cooling_totalHigh correlation
T_slab is highly correlated with T_int and 2 other fieldsHigh correlation
T_room_air_over_slab is highly correlated with T_ext and 5 other fieldsHigh correlation
T_room_air_no_slab is highly correlated with T_ext and 5 other fieldsHigh correlation
cons is highly correlated with geo_heat and 9 other fieldsHigh correlation
prod is highly correlated with BIPVT_outletT and 6 other fieldsHigh correlation
cons_noHVAC is highly correlated with consHigh correlation
Q_slab_heating is highly correlated with geo_heat and 6 other fieldsHigh correlation
Q_slab is highly correlated with geo_heat and 6 other fieldsHigh correlation
Q_rest_heating is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_rest is highly correlated with geo_heat and 5 other fieldsHigh correlation
DNI is highly correlated with BIPVT_dT and 5 other fieldsHigh correlation
GHI is highly correlated with BIPVT_dT and 6 other fieldsHigh correlation
DHI is highly correlated with BIPVT_heat and 5 other fieldsHigh correlation
solar_projected_PV is highly correlated with BIPVT_dT and 6 other fieldsHigh correlation
T_ext is highly correlated with T_int and 5 other fieldsHigh correlation
T_int is highly correlated with T_ext and 5 other fieldsHigh correlation
BIPVT_outletT is highly correlated with T_ext and 10 other fieldsHigh correlation
BIPVT_dT is highly correlated with BIPVT_outletT and 6 other fieldsHigh correlation
BIPVT_heat is highly correlated with BIPVT_outletT and 8 other fieldsHigh correlation
geo_heat is highly correlated with heating_total and 5 other fieldsHigh correlation
heating_total is highly correlated with geo_heat and 5 other fieldsHigh correlation
cooling_total is highly correlated with cooling_slab_ratioHigh correlation
window_state is highly correlated with T_ext and 4 other fieldsHigh correlation
cooling_slab_ratio is highly correlated with BIPVT_dT and 2 other fieldsHigh correlation
T_slab is highly correlated with T_ext and 4 other fieldsHigh correlation
T_room_air_over_slab is highly correlated with T_ext and 6 other fieldsHigh correlation
T_room_air_no_slab is highly correlated with T_ext and 5 other fieldsHigh correlation
cons is highly correlated with geo_heat and 6 other fieldsHigh correlation
prod is highly correlated with BIPVT_outletT and 6 other fieldsHigh correlation
cons_noHVAC is highly correlated with consHigh correlation
Q_slab_heating is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_slab is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_rest_heating is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_rest is highly correlated with geo_heat and 5 other fieldsHigh correlation
DNI is highly correlated with BIPVT_dT and 4 other fieldsHigh correlation
GHI is highly correlated with BIPVT_outletT and 6 other fieldsHigh correlation
DHI is highly correlated with BIPVT_heat and 3 other fieldsHigh correlation
solar_projected_PV is highly correlated with BIPVT_outletT and 6 other fieldsHigh correlation
T_ext is highly correlated with T_int and 2 other fieldsHigh correlation
T_int is highly correlated with T_ext and 4 other fieldsHigh correlation
BIPVT_outletT is highly correlated with T_ext and 3 other fieldsHigh correlation
BIPVT_dT is highly correlated with BIPVT_heatHigh correlation
BIPVT_heat is highly correlated with BIPVT_dT and 5 other fieldsHigh correlation
geo_heat is highly correlated with heating_total and 5 other fieldsHigh correlation
heating_total is highly correlated with geo_heat and 5 other fieldsHigh correlation
cooling_total is highly correlated with cooling_slab_ratioHigh correlation
cooling_slab_ratio is highly correlated with cooling_totalHigh correlation
T_slab is highly correlated with T_int and 2 other fieldsHigh correlation
T_room_air_over_slab is highly correlated with T_int and 3 other fieldsHigh correlation
T_room_air_no_slab is highly correlated with T_ext and 4 other fieldsHigh correlation
cons is highly correlated with geo_heat and 5 other fieldsHigh correlation
prod is highly correlated with BIPVT_heat and 4 other fieldsHigh correlation
Q_slab_heating is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_slab is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_rest_heating is highly correlated with geo_heat and 5 other fieldsHigh correlation
Q_rest is highly correlated with geo_heat and 5 other fieldsHigh correlation
DNI is highly correlated with BIPVT_heat and 4 other fieldsHigh correlation
GHI is highly correlated with BIPVT_heat and 4 other fieldsHigh correlation
DHI is highly correlated with BIPVT_heat and 4 other fieldsHigh correlation
solar_projected_PV is highly correlated with BIPVT_heat and 4 other fieldsHigh correlation
T_ext is highly correlated with T_int and 7 other fieldsHigh correlation
T_int is highly correlated with T_ext and 18 other fieldsHigh correlation
BIPVT_outletT is highly correlated with T_ext and 15 other fieldsHigh correlation
BIPVT_dT is highly correlated with T_int and 9 other fieldsHigh correlation
BIPVT_heat is highly correlated with T_int and 10 other fieldsHigh correlation
geo_heat is highly correlated with T_ext and 12 other fieldsHigh correlation
heating_total is highly correlated with T_int and 11 other fieldsHigh correlation
cooling_total is highly correlated with T_int and 4 other fieldsHigh correlation
window_state is highly correlated with T_ext and 10 other fieldsHigh correlation
heating_slab_ratio is highly correlated with T_ext and 13 other fieldsHigh correlation
cooling_slab_ratio is highly correlated with T_int and 10 other fieldsHigh correlation
T_slab is highly correlated with T_ext and 10 other fieldsHigh correlation
T_room_air_over_slab is highly correlated with T_ext and 19 other fieldsHigh correlation
T_room_air_no_slab is highly correlated with T_ext and 15 other fieldsHigh correlation
cons is highly correlated with T_int and 12 other fieldsHigh correlation
prod is highly correlated with BIPVT_outletT and 8 other fieldsHigh correlation
cons_noHVAC is highly correlated with T_int and 3 other fieldsHigh correlation
Q_slab_heating is highly correlated with T_int and 9 other fieldsHigh correlation
Q_slab is highly correlated with T_int and 9 other fieldsHigh correlation
Q_rest_heating is highly correlated with T_int and 11 other fieldsHigh correlation
Q_rest is highly correlated with T_int and 11 other fieldsHigh correlation
DNI is highly correlated with BIPVT_outletT and 7 other fieldsHigh correlation
GHI is highly correlated with BIPVT_outletT and 8 other fieldsHigh correlation
DHI is highly correlated with BIPVT_outletT and 7 other fieldsHigh correlation
solar_projected_PV is highly correlated with BIPVT_outletT and 7 other fieldsHigh correlation
window_state is uniformly distributed Uniform
Datetime has unique values Unique
window_state has unique values Unique
T_room_air_no_slab has unique values Unique
BIPVT_heat has 5829 (67.5%) zeros Zeros
heating_total has 152 (1.8%) zeros Zeros
cooling_total has 8221 (95.2%) zeros Zeros
heating_slab_ratio has 656 (7.6%) zeros Zeros
cooling_slab_ratio has 8159 (94.4%) zeros Zeros
prod has 5421 (62.7%) zeros Zeros
Q_slab_heating has 706 (8.2%) zeros Zeros
Q_slab has 615 (7.1%) zeros Zeros
Q_rest_heating has 152 (1.8%) zeros Zeros
Q_rest has 133 (1.5%) zeros Zeros
DNI has 6088 (70.5%) zeros Zeros
GHI has 4770 (55.2%) zeros Zeros
DHI has 4767 (55.2%) zeros Zeros
solar_projected_PV has 4739 (54.8%) zeros Zeros

Reproduction

Analysis started2022-03-30 17:14:34.267064
Analysis finished2022-03-30 17:15:11.520196
Duration37.25 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Datetime
Date

UNIQUE

Distinct8640
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
Minimum2018-01-01 00:00:00
Maximum2018-03-31 23:45:00
2022-03-30T13:15:11.568646image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:11.625437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

T_ext
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8602
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.792727486
Minimum-24.472
Maximum10.9368
Zeros0
Zeros (%)0.0%
Negative6144
Negative (%)71.1%
Memory size67.6 KiB
2022-03-30T13:15:11.688981image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-24.472
5-th percentile-18.263685
Q1-9.6592375
median-3.421715
Q30.6264055
95-th percentile4.8676
Maximum10.9368
Range35.4088
Interquartile range (IQR)10.285643

Descriptive statistics

Standard deviation7.204247442
Coefficient of variation (CV)-1.503162336
Kurtosis-0.2721184933
Mean-4.792727486
Median Absolute Deviation (MAD)4.940175
Skewness-0.5661264088
Sum-41409.16548
Variance51.90118121
MonotonicityNot monotonic
2022-03-30T13:15:11.743858image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.106653
 
< 0.1%
-3.410632
 
< 0.1%
-3.009822
 
< 0.1%
1.629182
 
< 0.1%
-14.29692
 
< 0.1%
2.178742
 
< 0.1%
-2.617622
 
< 0.1%
-12.70852
 
< 0.1%
-10.9452
 
< 0.1%
-14.06352
 
< 0.1%
Other values (8592)8619
99.8%
ValueCountFrequency (%)
-24.4721
< 0.1%
-24.26631
< 0.1%
-24.22231
< 0.1%
-24.21341
< 0.1%
-24.21271
< 0.1%
-24.12851
< 0.1%
-24.10431
< 0.1%
-24.07311
< 0.1%
-24.07291
< 0.1%
-24.07071
< 0.1%
ValueCountFrequency (%)
10.93681
< 0.1%
10.7381
< 0.1%
10.49791
< 0.1%
10.49241
< 0.1%
10.06231
< 0.1%
9.996751
< 0.1%
9.869581
< 0.1%
9.846581
< 0.1%
9.787461
< 0.1%
9.741431
< 0.1%

T_int
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7677
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.84396134
Minimum17.5971
Maximum23.2075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:11.801528image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum17.5971
5-th percentile18.92918
Q120.19865
median20.9307
Q321.606525
95-th percentile22.383925
Maximum23.2075
Range5.6104
Interquartile range (IQR)1.407875

Descriptive statistics

Standard deviation1.034490358
Coefficient of variation (CV)0.04963021858
Kurtosis0.1147397334
Mean20.84396134
Median Absolute Deviation (MAD)0.69725
Skewness-0.5265581843
Sum180091.826
Variance1.0701703
MonotonicityNot monotonic
2022-03-30T13:15:11.854794image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.1764
 
< 0.1%
19.72424
 
< 0.1%
21.08694
 
< 0.1%
20.52743
 
< 0.1%
21.2943
 
< 0.1%
21.66863
 
< 0.1%
21.60513
 
< 0.1%
21.43533
 
< 0.1%
21.17363
 
< 0.1%
21.12323
 
< 0.1%
Other values (7667)8607
99.6%
ValueCountFrequency (%)
17.59711
< 0.1%
17.59841
< 0.1%
17.60251
< 0.1%
17.62241
< 0.1%
17.62441
< 0.1%
17.63421
< 0.1%
17.63961
< 0.1%
17.65911
< 0.1%
17.6641
< 0.1%
17.66711
< 0.1%
ValueCountFrequency (%)
23.20751
< 0.1%
23.17041
< 0.1%
23.1521
< 0.1%
23.15141
< 0.1%
23.12761
< 0.1%
23.1171
< 0.1%
23.08311
< 0.1%
23.05091
< 0.1%
23.0341
< 0.1%
23.02781
< 0.1%

BIPVT_outletT
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4317
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4651072052
Minimum-21.294
Maximum33.2042
Zeros0
Zeros (%)0.0%
Negative3959
Negative (%)45.8%
Memory size67.6 KiB
2022-03-30T13:15:11.911379image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-21.294
5-th percentile-13.939455
Q1-5.65258
median0.75148
Q34.63898
95-th percentile18.67218
Maximum33.2042
Range54.4982
Interquartile range (IQR)10.29156

Descriptive statistics

Standard deviation9.144518318
Coefficient of variation (CV)19.66109795
Kurtosis0.6872126743
Mean0.4651072052
Median Absolute Deviation (MAD)4.908905
Skewness0.4336048934
Sum4018.526253
Variance83.62221527
MonotonicityNot monotonic
2022-03-30T13:15:11.967695image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7143519
 
0.2%
3.8039817
 
0.2%
0.9924616
 
0.2%
1.28716
 
0.2%
2.4116116
 
0.2%
3.9606516
 
0.2%
4.1616416
 
0.2%
0.5104915
 
0.2%
4.0108915
 
0.2%
0.0017415
 
0.2%
Other values (4307)8479
98.1%
ValueCountFrequency (%)
-21.2941
< 0.1%
-21.0781
< 0.1%
-20.75321
< 0.1%
-20.67171
< 0.1%
-20.51831
< 0.1%
-20.50011
< 0.1%
-20.46711
< 0.1%
-20.42411
< 0.1%
-20.37251
< 0.1%
-20.30941
< 0.1%
ValueCountFrequency (%)
33.20421
< 0.1%
33.08551
< 0.1%
32.89381
< 0.1%
32.87311
< 0.1%
32.50582
< 0.1%
32.32471
< 0.1%
32.2731
< 0.1%
31.96251
< 0.1%
31.93671
< 0.1%
31.83321
< 0.1%

BIPVT_dT
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8609
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.257834691
Minimum-0.44238
Maximum29.98461
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)0.1%
Memory size67.6 KiB
2022-03-30T13:15:12.085701image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.44238
5-th percentile1.658103
Q12.4172945
median3.21013
Q35.56366
95-th percentile18.3738345
Maximum29.98461
Range30.42699
Interquartile range (IQR)3.1463655

Descriptive statistics

Standard deviation5.101538315
Coefficient of variation (CV)0.9702736229
Kurtosis5.011549387
Mean5.257834691
Median Absolute Deviation (MAD)1.0250735
Skewness2.302267829
Sum45427.69173
Variance26.02569318
MonotonicityNot monotonic
2022-03-30T13:15:12.137422image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.589252
 
< 0.1%
4.20062
 
< 0.1%
2.137752
 
< 0.1%
2.134112
 
< 0.1%
2.9045512
 
< 0.1%
3.55022
 
< 0.1%
2.198472
 
< 0.1%
4.09672
 
< 0.1%
2.513512
 
< 0.1%
2.759272
 
< 0.1%
Other values (8599)8620
99.8%
ValueCountFrequency (%)
-0.442381
< 0.1%
-0.438141
< 0.1%
-0.308481
< 0.1%
-0.081031
< 0.1%
-0.059641
< 0.1%
-0.047261
< 0.1%
-0.035131
< 0.1%
-0.0085671
< 0.1%
0.004351
< 0.1%
0.157351
< 0.1%
ValueCountFrequency (%)
29.984611
< 0.1%
29.960791
< 0.1%
29.743881
< 0.1%
29.27021
< 0.1%
29.191451
< 0.1%
29.099771
< 0.1%
29.072751
< 0.1%
28.943971
< 0.1%
28.78091
< 0.1%
28.672941
< 0.1%

BIPVT_heat
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2812
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9368148
Minimum-0.2431553461
Maximum36.35643939
Zeros5829
Zeros (%)67.5%
Negative8
Negative (%)0.1%
Memory size67.6 KiB
2022-03-30T13:15:12.191932image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.2431553461
5-th percentile0
Q10
median0
Q32.149817994
95-th percentile10.9310382
Maximum36.35643939
Range36.59959473
Interquartile range (IQR)2.149817994

Descriptive statistics

Standard deviation4.15797474
Coefficient of variation (CV)2.146810702
Kurtosis11.53050685
Mean1.9368148
Median Absolute Deviation (MAD)0
Skewness3.110833682
Sum16734.07987
Variance17.28875394
MonotonicityNot monotonic
2022-03-30T13:15:12.244567image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05829
67.5%
2.276914731
 
< 0.1%
2.3781398641
 
< 0.1%
2.353570391
 
< 0.1%
2.1616003491
 
< 0.1%
2.0573054051
 
< 0.1%
2.0451196051
 
< 0.1%
2.0062289311
 
< 0.1%
2.0760452631
 
< 0.1%
2.2089062061
 
< 0.1%
Other values (2802)2802
32.4%
ValueCountFrequency (%)
-0.24315534611
 
< 0.1%
-0.24082481881
 
< 0.1%
-0.16955685421
 
< 0.1%
-0.044538355481
 
< 0.1%
-0.032781284961
 
< 0.1%
-0.025976584971
 
< 0.1%
-0.019309298131
 
< 0.1%
-0.0047088743841
 
< 0.1%
05829
67.5%
0.0023909890941
 
< 0.1%
ValueCountFrequency (%)
36.356439391
< 0.1%
33.684447571
< 0.1%
33.578260151
< 0.1%
33.027622631
< 0.1%
32.476034321
< 0.1%
32.211480451
< 0.1%
31.852814691
< 0.1%
30.533691811
< 0.1%
29.970470291
< 0.1%
29.924793871
< 0.1%

geo_heat
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8555
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-24.4349891
Minimum-96.62164936
Maximum12.44983683
Zeros70
Zeros (%)0.8%
Negative6578
Negative (%)76.1%
Memory size67.6 KiB
2022-03-30T13:15:12.302116image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-96.62164936
5-th percentile-75.11178051
Q1-39.54329731
median-14.91677613
Q3-2.828046736
95-th percentile4.714932094
Maximum12.44983683
Range109.0714862
Interquartile range (IQR)36.71525058

Descriptive statistics

Standard deviation24.39128982
Coefficient of variation (CV)-0.9982116104
Kurtosis-0.5884400655
Mean-24.4349891
Median Absolute Deviation (MAD)19.51920393
Skewness-0.5705375846
Sum-211118.3058
Variance594.9350189
MonotonicityNot monotonic
2022-03-30T13:15:12.360109image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-070
 
0.8%
4.2948666133
 
< 0.1%
3.8867013052
 
< 0.1%
4.2687905362
 
< 0.1%
-15.06533292
 
< 0.1%
4.6212639022
 
< 0.1%
-15.053274192
 
< 0.1%
4.2687905362
 
< 0.1%
3.4959353132
 
< 0.1%
4.262285752
 
< 0.1%
Other values (8545)8551
99.0%
ValueCountFrequency (%)
-96.621649361
< 0.1%
-96.501452371
< 0.1%
-96.310302151
< 0.1%
-95.799534921
< 0.1%
-95.69797091
< 0.1%
-95.120254011
< 0.1%
-95.11693871
< 0.1%
-94.969445651
< 0.1%
-94.864838281
< 0.1%
-94.838299591
< 0.1%
ValueCountFrequency (%)
12.449836831
< 0.1%
8.5646978181
< 0.1%
8.1744563461
< 0.1%
7.6675829161
< 0.1%
7.4260170071
< 0.1%
7.3895248741
< 0.1%
7.3825744791
< 0.1%
7.3057202961
< 0.1%
7.2664025851
< 0.1%
7.2498331531
< 0.1%

heating_total
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct8482
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.14558237
Minimum0
Maximum110.4903807
Zeros152
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:12.419457image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.291024121
Q17.612362204
median19.34646854
Q348.16989177
95-th percentile83.39915774
Maximum110.4903807
Range110.4903807
Interquartile range (IQR)40.55752957

Descriptive statistics

Standard deviation27.09271687
Coefficient of variation (CV)0.898729258
Kurtosis-0.3577237163
Mean30.14558237
Median Absolute Deviation (MAD)14.77523519
Skewness0.8875393345
Sum260457.8317
Variance734.0153076
MonotonicityNot monotonic
2022-03-30T13:15:12.471641image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0152
 
1.8%
36.033161623
 
< 0.1%
38.18149362
 
< 0.1%
38.275857062
 
< 0.1%
36.532790672
 
< 0.1%
37.302008362
 
< 0.1%
8.3569529942
 
< 0.1%
38.025667631
 
< 0.1%
16.218988721
 
< 0.1%
20.114884731
 
< 0.1%
Other values (8472)8472
98.1%
ValueCountFrequency (%)
0152
1.8%
0.054010780641
 
< 0.1%
0.074964184371
 
< 0.1%
0.096707817731
 
< 0.1%
0.12601296551
 
< 0.1%
0.12700689121
 
< 0.1%
0.13643342111
 
< 0.1%
0.1647540441
 
< 0.1%
0.20138490181
 
< 0.1%
0.2292053991
 
< 0.1%
ValueCountFrequency (%)
110.49038071
< 0.1%
110.10521021
< 0.1%
109.95843431
< 0.1%
108.59096741
< 0.1%
108.15602981
< 0.1%
107.0215761
< 0.1%
106.7303861
< 0.1%
106.56298291
< 0.1%
106.34081521
< 0.1%
106.11388031
< 0.1%

cooling_total
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct419
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0002437765143
Minimum-0.01213796114
Maximum0
Zeros8221
Zeros (%)95.2%
Negative419
Negative (%)4.8%
Memory size67.6 KiB
2022-03-30T13:15:12.525395image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.01213796114
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0.01213796114
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.001268066914
Coefficient of variation (CV)-5.201759972
Kurtosis30.55118416
Mean-0.0002437765143
Median Absolute Deviation (MAD)0
Skewness-5.514760274
Sum-2.106229083
Variance1.607993698 × 10-6
MonotonicityNot monotonic
2022-03-30T13:15:12.586434image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08221
95.2%
-0.0062327409232
 
< 0.1%
-0.0045147137551
 
< 0.1%
-0.0049805452141
 
< 0.1%
-0.0057660477141
 
< 0.1%
-0.0057871876641
 
< 0.1%
-0.0057643281971
 
< 0.1%
-0.0057215425571
 
< 0.1%
-0.0056931199451
 
< 0.1%
-0.0055961189321
 
< 0.1%
Other values (409)409
 
4.7%
ValueCountFrequency (%)
-0.012137961141
< 0.1%
-0.011737380041
< 0.1%
-0.011617110991
< 0.1%
-0.011286177271
< 0.1%
-0.011262612621
< 0.1%
-0.011072098011
< 0.1%
-0.011050919791
< 0.1%
-0.010608053741
< 0.1%
-0.010599385861
< 0.1%
-0.010316796131
< 0.1%
ValueCountFrequency (%)
08221
95.2%
-4.654051265 × 10-71
 
< 0.1%
-3.824713529 × 10-61
 
< 0.1%
-7.437269267 × 10-61
 
< 0.1%
-1.230322559 × 10-51
 
< 0.1%
-1.73427003 × 10-51
 
< 0.1%
-1.966105972 × 10-51
 
< 0.1%
-2.116351943 × 10-51
 
< 0.1%
-2.753313128 × 10-51
 
< 0.1%
-2.931266398 × 10-51
 
< 0.1%

window_state
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct8640
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6013700313
Minimum0.3359955766
Maximum0.8667444861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:12.644368image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.3359955766
5-th percentile0.3625330221
Q10.468682804
median0.6013700313
Q30.7340572587
95-th percentile0.8402070406
Maximum0.8667444861
Range0.5307489095
Interquartile range (IQR)0.2653744548

Descriptive statistics

Standard deviation0.1532406154
Coefficient of variation (CV)0.2548191752
Kurtosis-1.2
Mean0.6013700313
Median Absolute Deviation (MAD)0.1327025865
Skewness-4.572309354 × 10-16
Sum5195.837071
Variance0.0234826862
MonotonicityStrictly increasing
2022-03-30T13:15:12.764396image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.33599557661
 
< 0.1%
0.68956195861
 
< 0.1%
0.69042206791
 
< 0.1%
0.69036063161
 
< 0.1%
0.69029919521
 
< 0.1%
0.69023775881
 
< 0.1%
0.69017632241
 
< 0.1%
0.6901148861
 
< 0.1%
0.69005344971
 
< 0.1%
0.68999201331
 
< 0.1%
Other values (8630)8630
99.9%
ValueCountFrequency (%)
0.33599557661
< 0.1%
0.3360570131
< 0.1%
0.33611844931
< 0.1%
0.33617988571
< 0.1%
0.33624132211
< 0.1%
0.33630275851
< 0.1%
0.33636419491
< 0.1%
0.33642563131
< 0.1%
0.33648706761
< 0.1%
0.3365485041
< 0.1%
ValueCountFrequency (%)
0.86674448611
< 0.1%
0.86668304971
< 0.1%
0.86662161331
< 0.1%
0.86656017691
< 0.1%
0.86649874061
< 0.1%
0.86643730421
< 0.1%
0.86637586781
< 0.1%
0.86631443141
< 0.1%
0.8662529951
< 0.1%
0.86619155861
< 0.1%

heating_slab_ratio
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7852
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2481104273
Minimum0
Maximum0.9671516879
Zeros656
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:12.821827image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1279098414
median0.2493956074
Q30.3329521761
95-th percentile0.5263178048
Maximum0.9671516879
Range0.9671516879
Interquartile range (IQR)0.2050423346

Descriptive statistics

Standard deviation0.1524550664
Coefficient of variation (CV)0.6144645676
Kurtosis0.09797849444
Mean0.2481104273
Median Absolute Deviation (MAD)0.1023870197
Skewness0.3663971308
Sum2143.674092
Variance0.02324254729
MonotonicityNot monotonic
2022-03-30T13:15:12.879743image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0656
 
7.6%
0.196289706919
 
0.2%
0.552646887713
 
0.2%
0.37087979729
 
0.1%
0.26716957417
 
0.1%
0.20184477546
 
0.1%
0.11008060485
 
0.1%
0.449783534
 
< 0.1%
0.20237296514
 
< 0.1%
0.20234515454
 
< 0.1%
Other values (7842)7913
91.6%
ValueCountFrequency (%)
0656
7.6%
0.00019433185371
 
< 0.1%
0.00061464346521
 
< 0.1%
0.00071331042361
 
< 0.1%
0.00093491325311
 
< 0.1%
0.0011032708231
 
< 0.1%
0.0011061969321
 
< 0.1%
0.0011153448581
 
< 0.1%
0.0011746656231
 
< 0.1%
0.0012371175821
 
< 0.1%
ValueCountFrequency (%)
0.96715168791
< 0.1%
0.94579912891
< 0.1%
0.86047554911
< 0.1%
0.83188553031
< 0.1%
0.83019256121
< 0.1%
0.82651362181
< 0.1%
0.82565933031
< 0.1%
0.8176654651
< 0.1%
0.77083715031
< 0.1%
0.76764979941
< 0.1%

cooling_slab_ratio
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct246
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04770012104
Minimum0
Maximum2
Zeros8159
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:12.935903image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.5764444399
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2220712495
Coefficient of variation (CV)4.655569936
Kurtosis36.32875491
Mean0.04770012104
Median Absolute Deviation (MAD)0
Skewness5.663692533
Sum412.1290458
Variance0.04931563984
MonotonicityNot monotonic
2022-03-30T13:15:12.993644image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08159
94.4%
0.5992406569164
 
1.9%
224
 
0.3%
0.347719912911
 
0.1%
0.55928332848
 
0.1%
0.86640211648
 
0.1%
1.9138576937
 
0.1%
0.59187612056
 
0.1%
0.59137206686
 
0.1%
1.2320007934
 
< 0.1%
Other values (236)243
 
2.8%
ValueCountFrequency (%)
08159
94.4%
0.019481078611
 
< 0.1%
0.15475476751
 
< 0.1%
0.33396373221
 
< 0.1%
0.347719912911
 
0.1%
0.35976294751
 
< 0.1%
0.36055957191
 
< 0.1%
0.36488795211
 
< 0.1%
0.36833366331
 
< 0.1%
0.37328091671
 
< 0.1%
ValueCountFrequency (%)
224
0.3%
1.9954097431
 
< 0.1%
1.9543171351
 
< 0.1%
1.9262079941
 
< 0.1%
1.9138576937
 
0.1%
1.9076588261
 
< 0.1%
1.8892353121
 
< 0.1%
1.8830565981
 
< 0.1%
1.8080511761
 
< 0.1%
1.8037159551
 
< 0.1%

T_slab
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8637
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5600075
Minimum19.70397975
Maximum22.7901175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.052502image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum19.70397975
5-th percentile20.43379633
Q121.16040993
median21.61927514
Q322.02342568
95-th percentile22.41168474
Maximum22.7901175
Range3.086137749
Interquartile range (IQR)0.863015748

Descriptive statistics

Standard deviation0.5988553869
Coefficient of variation (CV)0.02777621422
Kurtosis-0.1587959892
Mean21.5600075
Median Absolute Deviation (MAD)0.4291345925
Skewness-0.5205032813
Sum186278.4648
Variance0.3586277745
MonotonicityNot monotonic
2022-03-30T13:15:13.106096image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.291211482
 
< 0.1%
22.282268732
 
< 0.1%
20.609291392
 
< 0.1%
20.443015681
 
< 0.1%
21.54095911
 
< 0.1%
21.602295221
 
< 0.1%
21.58751731
 
< 0.1%
21.557553711
 
< 0.1%
21.541943861
 
< 0.1%
21.520259791
 
< 0.1%
Other values (8627)8627
99.8%
ValueCountFrequency (%)
19.703979751
< 0.1%
19.707181921
< 0.1%
19.711806911
< 0.1%
19.715479641
< 0.1%
19.717588651
< 0.1%
19.720212041
< 0.1%
19.722318311
< 0.1%
19.729058291
< 0.1%
19.734475851
< 0.1%
19.735835831
< 0.1%
ValueCountFrequency (%)
22.79011751
< 0.1%
22.785588941
< 0.1%
22.775783321
< 0.1%
22.767824521
< 0.1%
22.766353131
< 0.1%
22.763679551
< 0.1%
22.76180091
< 0.1%
22.759715431
< 0.1%
22.757231091
< 0.1%
22.756516141
< 0.1%

T_room_air_over_slab
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8627
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.55716276
Minimum17.02869397
Maximum23.72434048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.163140image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum17.02869397
5-th percentile18.44513436
Q119.80015986
median20.57417391
Q321.34816608
95-th percentile22.55153595
Maximum23.72434048
Range6.695646506
Interquartile range (IQR)1.548006225

Descriptive statistics

Standard deviation1.203596393
Coefficient of variation (CV)0.0585487602
Kurtosis0.01306893485
Mean20.55716276
Median Absolute Deviation (MAD)0.7740304497
Skewness-0.1875604847
Sum177613.8863
Variance1.448644277
MonotonicityNot monotonic
2022-03-30T13:15:13.216187image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.11889792
 
< 0.1%
17.795934852
 
< 0.1%
19.377010132
 
< 0.1%
19.635044312
 
< 0.1%
19.751359822
 
< 0.1%
17.135551392
 
< 0.1%
20.502919992
 
< 0.1%
18.672305342
 
< 0.1%
21.020962562
 
< 0.1%
19.051260612
 
< 0.1%
Other values (8617)8620
99.8%
ValueCountFrequency (%)
17.028693971
< 0.1%
17.049860181
< 0.1%
17.050472611
< 0.1%
17.051924541
< 0.1%
17.055802891
< 0.1%
17.084049871
< 0.1%
17.093435581
< 0.1%
17.095189251
< 0.1%
17.104737751
< 0.1%
17.127023321
< 0.1%
ValueCountFrequency (%)
23.724340481
< 0.1%
23.701076951
< 0.1%
23.687355761
< 0.1%
23.674041351
< 0.1%
23.623495941
< 0.1%
23.615925421
< 0.1%
23.606057871
< 0.1%
23.599275511
< 0.1%
23.598031991
< 0.1%
23.584227381
< 0.1%

T_room_air_no_slab
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct8640
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.98017843
Minimum17.82007547
Maximum22.96202283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.271633image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum17.82007547
5-th percentile19.16644081
Q120.38126695
median21.09731531
Q321.72285813
95-th percentile22.3263839
Maximum22.96202283
Range5.141947359
Interquartile range (IQR)1.341591185

Descriptive statistics

Standard deviation0.9658488432
Coefficient of variation (CV)0.04603625495
Kurtosis0.2486110596
Mean20.98017843
Median Absolute Deviation (MAD)0.658812973
Skewness-0.6830356249
Sum181268.7416
Variance0.932863988
MonotonicityNot monotonic
2022-03-30T13:15:13.329245image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.686925971
 
< 0.1%
21.494932741
 
< 0.1%
21.096283351
 
< 0.1%
21.118411511
 
< 0.1%
21.145861061
 
< 0.1%
21.188676611
 
< 0.1%
21.212537341
 
< 0.1%
21.276481111
 
< 0.1%
21.308196941
 
< 0.1%
21.332292171
 
< 0.1%
Other values (8630)8630
99.9%
ValueCountFrequency (%)
17.820075471
< 0.1%
17.832868511
< 0.1%
17.836319111
< 0.1%
17.852659711
< 0.1%
17.860517421
< 0.1%
17.875752531
< 0.1%
17.878093341
< 0.1%
17.898136641
< 0.1%
17.898301761
< 0.1%
17.911813721
< 0.1%
ValueCountFrequency (%)
22.962022831
< 0.1%
22.931191851
< 0.1%
22.930770251
< 0.1%
22.897728861
< 0.1%
22.888530331
< 0.1%
22.876993561
< 0.1%
22.861175561
< 0.1%
22.855222921
< 0.1%
22.85488531
< 0.1%
22.85281681
< 0.1%

cons
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4151
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.51416736
Minimum0
Maximum44.12
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.453520image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.3944
Q112.92
median20.64
Q327.108
95-th percentile33.682
Maximum44.12
Range44.12
Interquartile range (IQR)14.188

Descriptive statistics

Standard deviation8.088408734
Coefficient of variation (CV)0.3942840375
Kurtosis-1.094266713
Mean20.51416736
Median Absolute Deviation (MAD)7.2
Skewness0.1980589595
Sum177242.406
Variance65.42235585
MonotonicityNot monotonic
2022-03-30T13:15:13.505595image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1456
 
0.6%
1237
 
0.4%
1033
 
0.4%
10.433
 
0.4%
13.630
 
0.3%
9.630
 
0.3%
13.226
 
0.3%
14.423
 
0.3%
11.623
 
0.3%
12.422
 
0.3%
Other values (4141)8327
96.4%
ValueCountFrequency (%)
03
< 0.1%
3.121
 
< 0.1%
4.561
 
< 0.1%
6.041
 
< 0.1%
6.121
 
< 0.1%
6.161
 
< 0.1%
6.281
 
< 0.1%
6.41
 
< 0.1%
6.561
 
< 0.1%
6.561
 
< 0.1%
ValueCountFrequency (%)
44.121
< 0.1%
42.841
< 0.1%
41.041
< 0.1%
40.921
< 0.1%
40.361
< 0.1%
40.161
< 0.1%
40.11
< 0.1%
40.081
< 0.1%
401
< 0.1%
39.9761
< 0.1%

prod
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2386
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.01192593
Minimum0
Maximum96.04
Zeros5421
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.560311image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.44
95-th percentile67.722
Maximum96.04
Range96.04
Interquartile range (IQR)7.44

Descriptive statistics

Standard deviation21.23573538
Coefficient of variation (CV)2.121043996
Kurtosis5.207195324
Mean10.01192593
Median Absolute Deviation (MAD)0
Skewness2.453382872
Sum86503.04
Variance450.956457
MonotonicityNot monotonic
2022-03-30T13:15:13.616629image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05421
62.7%
0.0815
 
0.2%
0.0413
 
0.2%
110
 
0.1%
0.1610
 
0.1%
0.0410
 
0.1%
2.529
 
0.1%
0.128
 
0.1%
0.48
 
0.1%
0.128
 
0.1%
Other values (2376)3128
36.2%
ValueCountFrequency (%)
05421
62.7%
0.0041
 
< 0.1%
0.0082
 
< 0.1%
0.0121
 
< 0.1%
0.0161
 
< 0.1%
0.021
 
< 0.1%
0.02134441
 
< 0.1%
0.0241
 
< 0.1%
0.03841
 
< 0.1%
0.0392781
 
< 0.1%
ValueCountFrequency (%)
96.041
< 0.1%
95.321
< 0.1%
94.761
< 0.1%
94.61
< 0.1%
94.41
< 0.1%
93.921
< 0.1%
93.642
< 0.1%
93.41
< 0.1%
93.281
< 0.1%
93.241
< 0.1%

cons_noHVAC
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8593
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.91409666
Minimum0
Maximum35.74111152
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.671437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.637140476
Q19.009799791
median12.32595261
Q316.438703
95-th percentile22.0944607
Maximum35.74111152
Range35.74111152
Interquartile range (IQR)7.42890321

Descriptive statistics

Standard deviation5.205979674
Coefficient of variation (CV)0.4031237964
Kurtosis-0.07656810137
Mean12.91409666
Median Absolute Deviation (MAD)3.619258778
Skewness0.3922378036
Sum111577.7952
Variance27.10222436
MonotonicityNot monotonic
2022-03-30T13:15:13.725496image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038
 
0.4%
14.443
 
< 0.1%
10.362
 
< 0.1%
9.962
 
< 0.1%
152
 
< 0.1%
9.482
 
< 0.1%
132
 
< 0.1%
14.442
 
< 0.1%
122
 
< 0.1%
11.22
 
< 0.1%
Other values (8583)8583
99.3%
ValueCountFrequency (%)
038
0.4%
0.035739589541
 
< 0.1%
0.050432930211
 
< 0.1%
0.10205773191
 
< 0.1%
0.11633472141
 
< 0.1%
0.17873846871
 
< 0.1%
0.18374993971
 
< 0.1%
0.18993154191
 
< 0.1%
0.27712382331
 
< 0.1%
0.32177316571
 
< 0.1%
ValueCountFrequency (%)
35.741111521
< 0.1%
34.310150241
< 0.1%
32.771461631
< 0.1%
31.511871181
< 0.1%
31.294767061
< 0.1%
31.174906331
< 0.1%
31.093210061
< 0.1%
311
< 0.1%
30.956232531
< 0.1%
30.869039541
< 0.1%

Q_slab_heating
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7833
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8010.817787
Minimum0
Maximum27271.39662
Zeros706
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.788836image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1994.3992433
median4929.266177
Q315253.90581
95-th percentile21561.39391
Maximum27271.39662
Range27271.39662
Interquartile range (IQR)14259.50657

Descriptive statistics

Standard deviation7671.752628
Coefficient of variation (CV)0.9576740892
Kurtosis-1.127216146
Mean8010.817787
Median Absolute Deviation (MAD)4642.79028
Skewness0.5816650772
Sum69213465.68
Variance58855788.38
MonotonicityNot monotonic
2022-03-30T13:15:13.844992image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0706
 
8.2%
889.295557810
 
0.1%
7603.853496
 
0.1%
7529.2154984
 
< 0.1%
735.96260613
 
< 0.1%
812.59944673
 
< 0.1%
904.64663423
 
< 0.1%
7380.2276923
 
< 0.1%
873.94448153
 
< 0.1%
7603.853493
 
< 0.1%
Other values (7823)7896
91.4%
ValueCountFrequency (%)
0706
8.2%
2.2553199891
 
< 0.1%
3.3405141431
 
< 0.1%
3.8338982821
 
< 0.1%
4.6385795671
 
< 0.1%
5.6809161111
 
< 0.1%
7.1841640961
 
< 0.1%
8.6005214671
 
< 0.1%
9.0843381891
 
< 0.1%
9.2011147821
 
< 0.1%
ValueCountFrequency (%)
27271.396621
< 0.1%
26557.004411
< 0.1%
26533.085671
< 0.1%
26473.721091
< 0.1%
26403.405761
< 0.1%
26181.797211
< 0.1%
26114.651831
< 0.1%
26090.444921
< 0.1%
26014.077861
< 0.1%
25989.582761
< 0.1%

Q_slab
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7913
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.012485022
Minimum0
Maximum27.27139662
Zeros615
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:13.899552image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.9964538381
median4.929266177
Q315.25390581
95-th percentile21.56139391
Maximum27.27139662
Range27.27139662
Interquartile range (IQR)14.25745198

Descriptive statistics

Standard deviation7.670426355
Coefficient of variation (CV)0.957309291
Kurtosis-1.126930477
Mean8.012485022
Median Absolute Deviation (MAD)4.64279028
Skewness0.5817496877
Sum69227.87059
Variance58.83544047
MonotonicityNot monotonic
2022-03-30T13:15:13.955421image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0615
 
7.1%
0.889295557810
 
0.1%
7.603853496
 
0.1%
7.3802276926
 
0.1%
7.5292154984
 
< 0.1%
0.81259944673
 
< 0.1%
0.87394448153
 
< 0.1%
0.85865267573
 
< 0.1%
0.95064059263
 
< 0.1%
0.90464663423
 
< 0.1%
Other values (7903)7984
92.4%
ValueCountFrequency (%)
0615
7.1%
5.531297415 × 10-81
 
< 0.1%
8.967896467 × 10-71
 
< 0.1%
1.016192557 × 10-51
 
< 0.1%
1.280601479 × 10-51
 
< 0.1%
2.972431962 × 10-51
 
< 0.1%
9.578809636 × 10-51
 
< 0.1%
0.00013641109511
 
< 0.1%
0.00021206902141
 
< 0.1%
0.00024356611791
 
< 0.1%
ValueCountFrequency (%)
27.271396621
< 0.1%
26.557004411
< 0.1%
26.533085671
< 0.1%
26.473721091
< 0.1%
26.403405761
< 0.1%
26.181797211
< 0.1%
26.114651831
< 0.1%
26.090444921
< 0.1%
26.014077861
< 0.1%
25.989582761
< 0.1%

Q_rest_heating
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct8482
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.13476458
Minimum0
Maximum84.64606885
Zeros152
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:14.015647image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.511896849
Q15.962537988
median13.12507756
Q334.03316628
95-th percentile64.26647014
Maximum84.64606885
Range84.64606885
Interquartile range (IQR)28.07062829

Descriptive statistics

Standard deviation20.31718396
Coefficient of variation (CV)0.9178857033
Kurtosis-0.1289944646
Mean22.13476458
Median Absolute Deviation (MAD)9.885208827
Skewness0.9796131868
Sum191244.366
Variance412.7879639
MonotonicityNot monotonic
2022-03-30T13:15:14.133864image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0152
 
1.8%
28.802209923
 
< 0.1%
30.686859422
 
< 0.1%
30.672003572
 
< 0.1%
29.361779892
 
< 0.1%
29.772792862
 
< 0.1%
7.4370145542
 
< 0.1%
30.421814141
 
< 0.1%
10.001353121
 
< 0.1%
12.124635861
 
< 0.1%
Other values (8472)8472
98.1%
ValueCountFrequency (%)
0152
1.8%
0.030382245561
 
< 0.1%
0.054010780641
 
< 0.1%
0.074964184371
 
< 0.1%
0.078171969881
 
< 0.1%
0.09513386091
 
< 0.1%
0.09823924261
 
< 0.1%
0.12601296551
 
< 0.1%
0.12700689121
 
< 0.1%
0.15756987991
 
< 0.1%
ValueCountFrequency (%)
84.646068851
< 0.1%
84.375728861
< 0.1%
84.115627461
< 0.1%
83.898633461
< 0.1%
82.643170371
< 0.1%
82.065584881
< 0.1%
81.793070231
< 0.1%
81.719648561
< 0.1%
81.194189911
< 0.1%
80.953218231
< 0.1%

Q_rest
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct8501
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.13285357
Minimum-0.05862400624
Maximum84.64606885
Zeros133
Zeros (%)1.5%
Negative19
Negative (%)0.2%
Memory size67.6 KiB
2022-03-30T13:15:14.186414image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.05862400624
5-th percentile1.511896849
Q15.962537988
median13.12507756
Q334.03316628
95-th percentile64.26647014
Maximum84.64606885
Range84.70469286
Interquartile range (IQR)28.07062829

Descriptive statistics

Standard deviation20.31786949
Coefficient of variation (CV)0.9179959299
Kurtosis-0.1289662145
Mean22.13285357
Median Absolute Deviation (MAD)9.885208827
Skewness0.979700739
Sum191227.8548
Variance412.8158208
MonotonicityNot monotonic
2022-03-30T13:15:14.237525image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0133
 
1.5%
28.802209923
 
< 0.1%
7.4370145542
 
< 0.1%
29.361779892
 
< 0.1%
30.672003572
 
< 0.1%
29.772792862
 
< 0.1%
30.686859422
 
< 0.1%
13.700691711
 
< 0.1%
8.711290051
 
< 0.1%
9.7341243551
 
< 0.1%
Other values (8491)8491
98.3%
ValueCountFrequency (%)
-0.058624006241
< 0.1%
-0.058541845231
< 0.1%
-0.056923750611
< 0.1%
-0.055722992751
< 0.1%
-0.052370958321
< 0.1%
-0.051569114441
< 0.1%
-0.051284687411
< 0.1%
-0.049642307571
< 0.1%
-0.048568930761
< 0.1%
-0.048355971231
< 0.1%
ValueCountFrequency (%)
84.646068851
< 0.1%
84.375728861
< 0.1%
84.115627461
< 0.1%
83.898633461
< 0.1%
82.643170371
< 0.1%
82.065584881
< 0.1%
81.793070231
< 0.1%
81.719648561
< 0.1%
81.194189911
< 0.1%
80.953218231
< 0.1%

DNI
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2547
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1008759452
Minimum0
Maximum1.045
Zeros6088
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:14.291044image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0005857175
95-th percentile0.800056
Maximum1.045
Range1.045
Interquartile range (IQR)0.0005857175

Descriptive statistics

Standard deviation0.2470973989
Coefficient of variation (CV)2.449517557
Kurtosis4.324431374
Mean0.1008759452
Median Absolute Deviation (MAD)0
Skewness2.397710371
Sum871.5681667
Variance0.06105712452
MonotonicityNot monotonic
2022-03-30T13:15:14.347233image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06088
70.5%
0.78639666672
 
< 0.1%
0.63899666672
 
< 0.1%
0.737282
 
< 0.1%
0.84337333332
 
< 0.1%
0.798932
 
< 0.1%
0.051395333332
 
< 0.1%
0.03320541
 
< 0.1%
0.01406021
 
< 0.1%
0.026994333331
 
< 0.1%
Other values (2537)2537
29.4%
ValueCountFrequency (%)
06088
70.5%
4.211 × 10-81
 
< 0.1%
1.05 × 10-71
 
< 0.1%
1.782566667 × 10-71
 
< 0.1%
5.867666667 × 10-71
 
< 0.1%
6.811333333 × 10-71
 
< 0.1%
9.325333333 × 10-71
 
< 0.1%
9.64 × 10-71
 
< 0.1%
1.121066667 × 10-61
 
< 0.1%
1.225933333 × 10-61
 
< 0.1%
ValueCountFrequency (%)
1.0451
< 0.1%
1.0442666671
< 0.1%
1.0429666671
< 0.1%
1.0427666671
< 0.1%
1.0418333331
< 0.1%
1.04041
< 0.1%
1.03561
< 0.1%
1.03281
< 0.1%
1.0308333331
< 0.1%
1.0303333331
< 0.1%

GHI
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct3854
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1071679716
Minimum0
Maximum0.9227166667
Zeros4770
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:14.403088image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1520933333
95-th percentile0.5306965
Maximum0.9227166667
Range0.9227166667
Interquartile range (IQR)0.1520933333

Descriptive statistics

Standard deviation0.1844387649
Coefficient of variation (CV)1.721025062
Kurtosis3.225977156
Mean0.1071679716
Median Absolute Deviation (MAD)0
Skewness1.951289882
Sum925.9312743
Variance0.03401765798
MonotonicityNot monotonic
2022-03-30T13:15:14.456365image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04770
55.2%
0.11682333332
 
< 0.1%
0.19132
 
< 0.1%
0.12423666672
 
< 0.1%
0.15007666672
 
< 0.1%
0.115012
 
< 0.1%
0.18339666672
 
< 0.1%
0.412532
 
< 0.1%
0.148152
 
< 0.1%
0.28169333332
 
< 0.1%
Other values (3844)3852
44.6%
ValueCountFrequency (%)
04770
55.2%
8.999 × 10-71
 
< 0.1%
6.184666667 × 10-61
 
< 0.1%
1.217066667 × 10-51
 
< 0.1%
1.264466667 × 10-51
 
< 0.1%
2.475833333 × 10-51
 
< 0.1%
3.1892 × 10-51
 
< 0.1%
3.2459 × 10-51
 
< 0.1%
4.068 × 10-51
 
< 0.1%
4.508333333 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.92271666671
< 0.1%
0.90263666671
< 0.1%
0.86491666671
< 0.1%
0.858121
< 0.1%
0.85711
< 0.1%
0.856811
< 0.1%
0.853791
< 0.1%
0.85226666671
< 0.1%
0.851171
< 0.1%
0.851071
< 0.1%

DHI
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct3852
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06104391618
Minimum0
Maximum0.5732333333
Zeros4767
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:14.510338image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.08988091667
95-th percentile0.2957441667
Maximum0.5732333333
Range0.5732333333
Interquartile range (IQR)0.08988091667

Descriptive statistics

Standard deviation0.1027235492
Coefficient of variation (CV)1.682781113
Kurtosis3.757989784
Mean0.06104391618
Median Absolute Deviation (MAD)0
Skewness2.006705506
Sum527.4194358
Variance0.01055212756
MonotonicityNot monotonic
2022-03-30T13:15:14.563310image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04767
55.2%
0.10409333332
 
< 0.1%
0.10892
 
< 0.1%
0.16148666672
 
< 0.1%
0.24763333332
 
< 0.1%
0.0297682
 
< 0.1%
0.27713333332
 
< 0.1%
0.092613333332
 
< 0.1%
0.13292333332
 
< 0.1%
0.255232
 
< 0.1%
Other values (3842)3855
44.6%
ValueCountFrequency (%)
04767
55.2%
6.49 × 10-61
 
< 0.1%
8.255666667 × 10-61
 
< 0.1%
8.333333333 × 10-61
 
< 0.1%
1.031033333 × 10-51
 
< 0.1%
1.057033333 × 10-51
 
< 0.1%
1.6926 × 10-51
 
< 0.1%
2.0794 × 10-51
 
< 0.1%
2.3233 × 10-51
 
< 0.1%
2.330966667 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.57323333331
< 0.1%
0.57094333331
< 0.1%
0.56810666671
< 0.1%
0.55972333331
< 0.1%
0.557641
< 0.1%
0.557051
< 0.1%
0.55565666671
< 0.1%
0.55212666671
< 0.1%
0.55143333331
< 0.1%
0.55018666671
< 0.1%

solar_projected_PV
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct3900
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1273272138
Minimum0
Maximum1.104403775
Zeros4739
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size67.6 KiB
2022-03-30T13:15:14.620159image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1499829514
95-th percentile0.7337408507
Maximum1.104403775
Range1.104403775
Interquartile range (IQR)0.1499829514

Descriptive statistics

Standard deviation0.2346426623
Coefficient of variation (CV)1.842831985
Kurtosis3.758777846
Mean0.1273272138
Median Absolute Deviation (MAD)0
Skewness2.129725087
Sum1100.107128
Variance0.05505717896
MonotonicityNot monotonic
2022-03-30T13:15:14.673298image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04739
54.8%
0.15946702432
 
< 0.1%
0.23858600272
 
< 0.1%
0.18483098861
 
< 0.1%
0.65410787181
 
< 0.1%
0.50922131851
 
< 0.1%
0.45616466511
 
< 0.1%
0.45820321061
 
< 0.1%
0.51821066651
 
< 0.1%
0.40967486341
 
< 0.1%
Other values (3890)3890
45.0%
ValueCountFrequency (%)
04739
54.8%
2.341195842 × 10-71
 
< 0.1%
4.400890866 × 10-71
 
< 0.1%
1.127449326 × 10-61
 
< 0.1%
1.792654775 × 10-61
 
< 0.1%
3.890610845 × 10-61
 
< 0.1%
4.00220563 × 10-61
 
< 0.1%
4.982308728 × 10-61
 
< 0.1%
5.83657223 × 10-61
 
< 0.1%
6.164051907 × 10-61
 
< 0.1%
ValueCountFrequency (%)
1.1044037751
< 0.1%
1.1043407991
< 0.1%
1.1020570431
< 0.1%
1.0950689191
< 0.1%
1.0931537671
< 0.1%
1.0790709581
< 0.1%
1.0769609511
< 0.1%
1.0666447051
< 0.1%
1.0656939971
< 0.1%
1.0636832491
< 0.1%

Interactions

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2022-03-30T13:14:36.816411image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:40.690937image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:41.965627image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:45.020511image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:46.424533image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:47.832939image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:49.915150image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:51.369158image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:52.948492image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:44.927260image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:46.317095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:47.725598image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:49.799575image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:51.256768image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:56.988054image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:40.644571image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:41.918180image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:47.779868image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:49.857196image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:51.321465image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-30T13:14:55.745060image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:57.037844image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:58.359569image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:14:59.587009image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:00.895135image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:02.126323image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:03.381176image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:04.576005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:05.765714image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:07.092339image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:08.386735image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-30T13:15:09.735803image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Correlations

2022-03-30T13:15:14.803424image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-03-30T13:15:14.918138image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-03-30T13:15:15.033338image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-03-30T13:15:15.148845image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-03-30T13:15:11.158290image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
A simple visualization of nullity by column.
2022-03-30T13:15:11.428540image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

DatetimeT_extT_intBIPVT_outletTBIPVT_dTBIPVT_heatgeo_heatheating_totalcooling_totalwindow_stateheating_slab_ratiocooling_slab_ratioT_slabT_room_air_over_slabT_room_air_no_slabconsprodcons_noHVACQ_slab_heatingQ_slabQ_rest_heatingQ_restDNIGHIDHIsolar_projected_PV
02018-01-01 00:00:00-21.856618.4578-18.61843.23820.0-54.11803438.0256680.00.3359960.1999660.020.44301617.97538618.68692611.246720.01.7403037603.8534907.60385330.42181430.4218140.00.00.00.0
12018-01-01 00:15:00-21.843418.4086-18.66143.18200.0-50.61919126.3220830.00.3360570.2822590.020.43475717.96148118.62096213.075320.06.4947997429.6565927.42965718.89242618.8924260.00.00.00.0
22018-01-01 00:30:00-21.956118.3142-18.64593.31020.0-9.06621013.0177220.00.3361180.2934460.020.43416417.88021918.52032216.326640.013.0722093819.9933913.8199939.1977299.1977290.00.00.00.0
32018-01-01 00:45:00-22.040818.2528-18.74733.29350.0-37.89653310.6183060.00.3361800.2815540.020.41771717.82457818.45618715.916000.013.2614242989.6241932.9896247.6286827.6286820.00.00.00.0
42018-01-01 01:00:00-22.129918.1697-18.63533.49460.0-34.62341710.7816390.00.3362410.2687060.020.39710217.78359318.35308417.242400.014.5469902897.0895832.8970907.8845497.8845490.00.00.00.0
52018-01-01 01:15:00-22.122518.0864-19.17732.94520.0-35.40329911.0254750.00.3363030.2669370.020.38441817.70935918.26547914.639200.011.8828312943.1040452.9431048.0823718.0823710.00.00.00.0
62018-01-01 01:30:00-22.200318.0797-19.13433.06600.0-28.57834723.5590170.00.3363640.2629320.020.36284517.70776718.25635212.272000.06.3822466194.4222516.19442217.36459517.3645950.00.00.00.0
72018-01-01 01:45:00-22.267218.0251-19.06683.20040.0-13.2206917.1842390.00.3364260.2582520.020.34813417.66557918.19585715.693600.013.8975401855.3434891.8553435.3288955.3288950.00.00.00.0
82018-01-01 02:00:00-22.302517.9713-19.17733.12520.0-36.99517310.8366230.00.3364870.2516510.020.32976717.63434918.13133716.064000.013.3548442727.0472692.7270478.1095768.1095760.00.00.00.0
92018-01-01 02:15:00-22.369017.9164-19.26333.10570.0-35.27269911.9542770.00.3365490.2605360.020.30932017.53486018.09761515.827200.012.8386313114.5183633.1145188.8397588.8397580.00.00.00.0

Last rows

DatetimeT_extT_intBIPVT_outletTBIPVT_dTBIPVT_heatgeo_heatheating_totalcooling_totalwindow_stateheating_slab_ratiocooling_slab_ratioT_slabT_room_air_over_slabT_room_air_no_slabconsprodcons_noHVACQ_slab_heatingQ_slabQ_rest_heatingQ_restDNIGHIDHIsolar_projected_PV
86302018-03-31 21:30:005.5718521.95228.859733.287880.0-14.0242210.0000000.00.8661920.00.022.22889721.85508421.99832615.640.015.6400000.00.00.0000000.0000000.00.00.00.0
86312018-03-31 21:45:006.1804121.93609.176102.995690.0-13.1742820.0000000.00.8662530.00.022.21918821.83629121.98335712.480.012.4800000.00.00.0000000.0000000.00.00.00.0
86322018-03-31 22:00:006.4836021.88009.684903.201300.05.0674000.0000000.00.8663140.00.022.20849821.73863921.94714010.240.010.2400000.00.00.0000000.0000000.00.00.00.0
86332018-03-31 22:15:006.6961721.85959.176102.479930.04.9017122.4595260.00.8663760.00.022.20024821.70681321.93202010.320.09.7051190.00.02.4595262.4595260.00.00.00.0
86342018-03-31 22:30:006.8066021.85489.187902.381300.04.2871682.3361770.00.8664370.00.022.19113221.70484621.92602210.280.09.6959560.00.02.3361772.3361770.00.00.00.0
86352018-03-31 22:45:006.7801921.80589.103402.323210.05.0687253.3667330.00.8664990.00.022.18138621.66938421.87059210.400.09.5583170.00.03.3667333.3667330.00.00.00.0
86362018-03-31 23:00:006.6242821.76339.345702.721420.04.6693253.7888730.00.8665600.00.022.15639621.61453921.83395511.000.010.0527820.00.03.7888733.7888730.00.00.00.0
86372018-03-31 23:15:006.4201621.75598.759232.339070.05.0402134.0801730.00.8666220.00.022.13499821.59988721.82999910.160.09.1399570.00.04.0801734.0801730.00.00.00.0
86382018-03-31 23:30:006.1049221.72729.103402.998480.04.6520084.2644020.00.8666830.00.022.11268221.55494021.80901610.160.09.0939000.00.04.2644024.2644020.00.00.00.0
86392018-03-31 23:45:006.0278321.71828.708992.681160.04.6118674.3466430.00.8667440.00.022.10058621.54893821.79859210.360.09.2733390.00.04.3466434.3466430.00.00.00.0